37results about How to "Easy input" patented technology

The invention relates to a network prediction model for identifying a new cancer gene, a model construction method and application, and belongs to the field of biostatistics. According to the method, genomics, transcriptomics and proteomics data are integrated, a dynamic tensor twinning graph neural network is constructed, a hybrid multilayer random block model is utilized to perform tensor decomposition to extract global and local community features, causal and non-causal information is separated, causal feature mutual information is maximized, and non-causal interference is inhibited, so that the dynamic tensor twinning graph neural network is obtained. The model interpretation force is enhanced; through a dynamic community perception algorithm and a twin graph neural network, inter-layer graph dissimilarity is learned by using a graph similarity function, accurate detection of network structure mutation nodes in a high-frequency dynamic scene is realized, and an independent state transition and co-evolution mode is synchronously positioned. And the biological functions of the candidate genes are verified by combining KEGG pathway enrichment analysis and an independent database. Compared with an existing optimal algorithm, the mutation detection accuracy and the calculation efficiency are remarkably improved, and the AUROC and the AUPRC are both higher than those of an existing advanced recognition method.

This invention relates to a single-grain grain analyzer, belonging to the field of grain testing. It includes: a weight detection mechanism, a hardness and moisture detection mechanism, a size detection mechanism, a feeding mechanism, a discharging mechanism, and a transfer mechanism. The feeding mechanism is positioned above the weight detection mechanism; the transfer mechanism is positioned between the weight detection mechanism and the hardness and moisture detection mechanism; the size detection mechanism is positioned close to the transfer mechanism; and the discharging mechanism is positioned below the hardness and moisture detection mechanism. All four mechanisms—weight, hardness and moisture detection, size detection, feeding, discharging, and transfer—are fixedly mounted on a frame. This invention facilitates automated detection of grain size, weight, hardness, and moisture content, reduces the workload of testing personnel, avoids human error, and thus improves the accuracy of test results.